I/F
A Fair and Efficient Resource Allocation Algorithm for Cloud Rendering Jobs A Hybrid NOMA-OMA Framework for Multi-User Offloading in Mobile Edge Computing System A Lightweight I/O Throttling Service to Improve the User Experience of Mobile Devices A Logical Reasoning Network for High-Order Complementary Cloud API Recommendation A Resource Management Strategy for Fluid Equilibrium in Edge-Cloud Market Supporting AIGC Services Battery Swapping Tour Optimization Problem in Dockless Electric Bike Sharing Service Systems With Distance-Aware User Incentives CASE: Minimizing Attack Surfaces Based on Context-Aware System Call Enforcement Collaborative Service Caching, Task Offloading, and Resource Allocation in Caching-Assisted Mobile Edge Computing Crowdsourcing to Service Users: Work for Yourself and Get Reward Data Re-Outsourcing Detection With Latency-Constraint for Edge Storage Decentralized Request Dispatch for Edge-Clouds: A Diffusion-Based Reinforcement Learning Paradigm DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation East: Efficient and Accurate Secure Inference Framework for Transformer eProbe: eBPF-Enhanced Accurate Container Status Probing in Cloud-Native Systems Feature Noise Resilient for QoS Prediction With Probabilistic Deep Supervision FedCLR+: Tackling Onboard Label Constraints for Accurate Federated Satellite Computing Fidelity-Aware Inference Services in DT-Assisted Edge Computing via Service Model Retraining FlxVRM: Enabling Online Configuring Memory via Virtualization on Programmable Data Plane Integrated Resource Allocation for Sequential Task Offloading in Edge Computing Joint Data Placement and Service Deployment in Distributed Cloud-Edge Environment Joint Task Offloading and Migration Optimization in UAV-Enabled Dynamic MEC Networks Joint Time-Frequency Pseudo Anomalies for Multimodal Electrocardiogram Quality Assessment in Healthcare Service Computing KeAD: Knowledge-enhanced Graph Attention Network for Accurate Anomaly Detection Knowledge Transfer Service for Multi-Granular Traffic Prediction in Smart Cities Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering Multi-Agent Reinforcement Learning for Freshness-Aware Data Sensing Model in Vehicular Crowdsensing Systems Multi-View Trace Clustering Based on Graph Convolutional Networks in Process Mining On-Demand and Scalable Topology Control Service for LEO Satellite Network Evolving Online Popularity Prediction Service via Minimal Substitution Reinforcement Learning for Social Networks Online Workload Scheduling for Social Welfare Maximization in the Computing Continuum Optimizing Consistency in Distributed Data Services: The CP-Raft Protocol for High-Performance and Fault-Tolerant Replication Optimizing Profit and Delay in Computing Power Network via Deep Deterministic Policy Gradient: A Task Decomposition and Computing Path Optimization Approach Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining QLP-DCS: A Quality-Aware, Low-Cost, and Privacy-Preserving Data Collection Service for Mobile Crowd Sensing Quality of Experience in Crowdsourced Energy Services RECaching: Cost-Effective Edge Caching for Cloud Storage With Differentiated Regional Workloads Robust Dynamic Edge Service Placement Under Spatio-Temporal Correlated Demand Uncertainty SLICE: Energy-Efficient Satellite-Ground Co-Inference via Layer-Wise Scheduling Optimization Sparse-FCL: Sparse Federated Continual Learning for Evolving Mobile Edge Computing Environments Stabilizing Quality of Wi-Fi-Based Location Services Using High-Performance Distributed Stream Processing and Data Pipelines Synthesis Rather Than Redemption: A Win-Win Rewards Program by Self-Assembling Fragments Into an Item in the Metaverse Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds With Online Learning Unlocking Complexity: Harnessing Value Entropy for Advanced Multidimensional Utility Evaluation in Service Ecosystems Integrating IoT and 6G: Applications of Edge Intelligence, Challenges, and Future Directions A Continuous Authentication Framework for Securing Metaverse Identities A Developer-Focused Genetic Algorithm for IoT Application Placement in the Computing Continuum A Novel Cross-Chain Hierarchical Federated Learning Framework for Enhancing Service Security and Communication Efficiency A Paradigm Shift in Service Research: The Case of Service Composition A Reliable Distributed-Cloud Storage Based on Permissioned Blockchain An End-to-End Deep Learning QoS Prediction Model Based on Temporal Context and Feature Fusion